Applied Scientist II (AI)

TL;DR

Applied Scientist II (AI/ML): Designing and shipping advanced AI and ML solutions for local search experiences with an accent on LLMs, RAG, and entity understanding. Focus on formulating complex product problems as AI tasks, optimizing ranking models, and deploying scalable production systems.

Location: Mountain View, WA or Redmond, WA, United States

Salary: $100,600 – $215,400 per year

Company

hirify.global AI is a global leader in artificial intelligence and software services, developing intelligence that powers search experiences for millions of users.

What you will do

• Formulate complex product and engineering problems as machine learning and AI tasks, driving them from concept to production.
• Design, implement, and evaluate ML and LLM-based models to improve quality, relevance, and coverage for Bing Places.
• Conduct rigorous data analysis to identify system behavior opportunities and define success metrics.
• Prototype new modeling approaches and iterate quickly using offline evaluation and online A/B testing.
• Partner with engineers to integrate models into production systems, ensuring reliability and performance at scale.
• Drive technical direction and contribute to the scientific community through publications and patents.

Requirements

• Bachelor's degree in CS, Statistics, Electrical Engineering, or related field with 2+ years of experience, OR a Master's with 1+ year, OR a PhD.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• Hands-on experience developing and evaluating models on large-scale, real-world datasets.
• Understanding of experimentation methodologies, including offline metrics and online A/B testing.
• Ability to independently scope problems and deliver high-quality solutions in ambiguous environments.

Nice to have

• 4+ years of experience applying AI solutions or LLMs to real-world systems (RAG, ranking, classification, reasoning).
• Background in search, information retrieval, knowledge graphs, or local/entity understanding.
• Track record of publications or granted/pending patents.
• Familiarity with distributed training, model optimization, and production ML infrastructure.

Culture & Benefits

• Work within a high-impact team focusing on real-world AI applications at global scale.
• Collaborative environment with strong partnerships between engineering and product teams.
• Commitment to diversity and inclusion as an equal opportunity employer.
• Comprehensive benefits package including various corporate compensation options.